Navigating the Challenges of Coaching Eager New Hires

In this episode, we're talking about how to handle very eager new team members.

We explore an example with Neha, a manager at a startup in Singapore, and her new team member, Adrian. Adrian just graduated and is really excited about his marketing job. However, his hurry to succeed leads him to rush through tasks and miss important details, which affects his work quality.

We highlight why it's crucial to give helpful feedback that helps Adrian grow but keeps his excitement about the job. We talk about ways to balance this feedback and advice, aiming to turn his great energy and lesser experience into both high energy and strong skills.

We also discuss how vital it is for leaders to help shape a new team member's career by promoting self-reflection, asking questions, and learning from errors. This helps the new team member eventually evaluate and improve their own performance on their own.

00:00 Introduction to Leadership Challenges with New Hires

00:31 The Case of Adrian: A Fresh Graduate's Journey

01:46 Understanding and Addressing the Core Challenge

02:25 Strategies for Effective Feedback and Coaching

05:06 The Importance of Constructive Feedback and Guidance

08:25 Adopting a Coaching Mindset for New Hire Success

12:11 Closing Thoughts: The Power of Early and Effective Feedback

+++

Before you go:

Case examples for LEAD NEXT Podcast - Submit your case example! In each podcast episode we discuss one leadership situation. I'd love to hear from you if you have any challenging situations that you would like me to address in an episode. Submit your suggestions through this form!

Mentioned in this episode:

I made a free checklist that lays out all the steps in how to prepare well if you’re giving feedback to someone. I don’t have to tell you that being well prepared makes all the difference. So go ahead and download this simple one-pager for free from this link.

Prep Like A Pro

Ep 1 - The Case of the Overenthusiastic Fresh Graduate

Powered by Wave AI